Triple
T12832968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 八坂神社 |
E306833
|
entity |
| Predicate | neighborhood |
P988
|
FINISHED |
| Object |
祇園
祇園 is Kyoto’s famous historic entertainment district known for its traditional wooden machiya townhouses, teahouses, and geisha (geiko and maiko) culture.
|
E1004754
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 祇園 | Statement: [八坂神社, neighborhood, 祇園]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 祇園 Context triple: [八坂神社, neighborhood, 祇園]
-
A.
八坂神社
八坂神社 is a famous Shinto shrine in Kyoto, Japan, renowned for hosting the Gion Matsuri, one of the country’s most celebrated annual festivals.
-
B.
園城寺
園城寺 is a historic Tendai Buddhist temple complex in Ōtsu, Shiga Prefecture, Japan, renowned for its ancient halls, cultural treasures, and scenic setting near Lake Biwa.
-
C.
稲荷神社
稲荷神社 is a type of Shinto shrine in Japan dedicated to the deity Inari, commonly associated with rice, prosperity, and fox spirits, and often marked by rows of vermilion torii gates.
-
D.
意賀美神社
意賀美神社は、大阪府枚方市に鎮座し、古くから地域の人々に親しまれている歴史ある神社です。
-
E.
龍安寺
龍安寺 is a Zen Buddhist temple in Kyoto, Japan, renowned for its iconic rock garden and status as a UNESCO World Heritage Site.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 祇園 Triple: [八坂神社, neighborhood, 祇園]
Generated description
祇園 is Kyoto’s famous historic entertainment district known for its traditional wooden machiya townhouses, teahouses, and geisha (geiko and maiko) culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 祇園 Target entity description: 祇園 is Kyoto’s famous historic entertainment district known for its traditional wooden machiya townhouses, teahouses, and geisha (geiko and maiko) culture.
-
A.
八坂神社
八坂神社 is a famous Shinto shrine in Kyoto, Japan, renowned for hosting the Gion Matsuri, one of the country’s most celebrated annual festivals.
-
B.
園城寺
園城寺 is a historic Tendai Buddhist temple complex in Ōtsu, Shiga Prefecture, Japan, renowned for its ancient halls, cultural treasures, and scenic setting near Lake Biwa.
-
C.
稲荷神社
稲荷神社 is a type of Shinto shrine in Japan dedicated to the deity Inari, commonly associated with rice, prosperity, and fox spirits, and often marked by rows of vermilion torii gates.
-
D.
意賀美神社
意賀美神社は、大阪府枚方市に鎮座し、古くから地域の人々に親しまれている歴史ある神社です。
-
E.
龍安寺
龍安寺 is a Zen Buddhist temple in Kyoto, Japan, renowned for its iconic rock garden and status as a UNESCO World Heritage Site.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96fb0bb208190bdc4d3dc7909be06 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ed8d20081908e0fb5262b354cab |
completed | May 2, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_69f6908cb8ec8190855b217c13a51f16 |
completed | May 3, 2026, 12:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6917688508190ae5a64494eaadce7 |
completed | May 3, 2026, 12:06 a.m. |
Created at: April 9, 2026, 5:34 p.m.